Deep Learning Based Pipeline for Fingerprinting Using Brain Functional MRI Connectivity Data

Nicolás F. Lori, Ivo Ramalhosa, Paulo Marques 0001, Victor Alves. Deep Learning Based Pipeline for Fingerprinting Using Brain Functional MRI Connectivity Data. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, November 5-8, 2018, Leuven, Belgium. Volume 141 of Procedia Computer Science, pages 539-544, Elsevier, 2018. [doi]

@inproceedings{LoriR0A18,
  title = {Deep Learning Based Pipeline for Fingerprinting Using Brain Functional MRI Connectivity Data},
  author = {Nicolás F. Lori and Ivo Ramalhosa and Paulo Marques 0001 and Victor Alves},
  year = {2018},
  doi = {10.1016/j.procs.2018.10.129},
  url = {https://doi.org/10.1016/j.procs.2018.10.129},
  researchr = {https://researchr.org/publication/LoriR0A18},
  cites = {0},
  citedby = {0},
  pages = {539-544},
  booktitle = {The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, November 5-8, 2018, Leuven, Belgium},
  editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
  volume = {141},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}